A new research paper by INSEAD and Yango Group argues that the UAE has moved further than most governments in treating artificial intelligence as core public infrastructure rather than a collection of isolated technology projects.
- Why most governments struggle to scale AI
- UAE’s AI success built on three strategic pillars
- 1. Strong and continuous leadership commitment
- 2. Redesigning public-sector operations around AI
- 3. Strategic procurement and partnerships
- Abu Dhabi and Dubai follow different AI execution models
- Abu Dhabi focuses on infrastructure-led AI governance
- Dubai prioritises speed and service delivery
- Five major barriers still slowing government AI adoption
- UAE’s Government 4.0 strategy accelerates AI adoption
The report, AI as Public Infrastructure: Lessons from the UAE for Government Transformation, says the UAE’s success lies not in access to advanced technology alone, but in its ability to redesign government systems around AI-driven governance.
The study draws on interviews with senior UAE government officials, policymakers, and AI executives. It concludes that governments worldwide can learn from the Emirates’ approach to institutionalising AI at scale.
Why most governments struggle to scale AI
According to the report, many governments have launched AI pilots. However, only a few have converted those experiments into sustainable institutional capability.
Researchers identified several common reasons behind failed AI implementation. These include fragmented data systems, weak coordination between agencies, shortages of professionals who understand both policy and technology, and procurement rules that slow innovation.
The paper argues that successful governments embed AI into leadership structures, operating models, public services, and accountability systems from the beginning. As a result, AI becomes part of governance infrastructure rather than a standalone digital tool.
UAE’s AI success built on three strategic pillars
The report says the UAE’s progress comes from three key institutional decisions.
1. Strong and continuous leadership commitment
The UAE leadership has consistently prioritised AI as a national transformation agenda. The country became one of the first globally to launch a national AI strategy in 2017. It also appointed the world’s first Minister of State for Artificial Intelligence.
That long-term political backing has accelerated implementation across federal and local governments.
2. Redesigning public-sector operations around AI
Instead of simply adding AI tools to existing systems, UAE authorities redesigned workflows and public services around automation, predictive systems, and data-led governance.
The report highlights how Abu Dhabi and Dubai adopted different but complementary models aligned with federal goals.
3. Strategic procurement and partnerships
The study says the UAE uses procurement as a strategic policy instrument instead of a routine administrative process. Government agencies actively partner with technology firms and AI specialists to accelerate deployment and scale.
Abu Dhabi and Dubai follow different AI execution models
Abu Dhabi focuses on infrastructure-led AI governance
Abu Dhabi has adopted a long-term infrastructure strategy centred on sovereign cloud systems, shared government platforms, and governance frameworks.
The emirate has committed AED13 billion ($3.54 billion) toward AI-enabled public infrastructure.
A major example is the TAMM platform. The system now hosts more than 1,000 government services and reusable digital modules across government-to-government and government-to-business operations.
Researchers describe TAMM as one of the strongest examples globally of AI integrated into shared public infrastructure.
Dubai prioritises speed and service delivery
Meanwhile, Dubai has focused on rapid implementation and citizen-facing impact.
Through the Dubai Centre for Artificial Intelligence, officials reviewed 183 potential AI use cases proposed by 33 government entities.
Authorities then filtered those applications based on feasibility, strategic value, and citizen impact. Eventually, they narrowed the list to 15 high-impact deployments across healthcare, logistics, mobility, and urban infrastructure.
The report says Dubai’s model demonstrates disciplined prioritisation and fast execution within government systems.
Five major barriers still slowing government AI adoption
The research identifies five persistent structural challenges affecting governments worldwide:
- Fragmented and poorly governed data systems
- Weak coordination between agencies
- Shortage of policy-technology translators
- Rigid procurement systems unsuited for AI development
- Limited mechanisms to evaluate AI risks and outcomes
The paper also compares the UAE with countries including the UK, Singapore, China, the United States, and the European Union. Researchers found that governments often have access to similar AI technologies, yet produce very different outcomes because of institutional capability gaps.
UAE’s Government 4.0 strategy accelerates AI adoption
The study arrives as the UAE intensifies its broader Government 4.0 transformation agenda.
Over the past month, UAE authorities announced plans to deploy agentic AI across nearly 50% of government sectors, operations, and public services within the next two years.
Analysts say the country’s rapid execution reflects decades of investment in digital governance, combined with leadership urgency and willingness to reform public administration models.
The report ultimately positions the UAE as one of the clearest global case studies showing how governments can move from AI experimentation to full-scale institutional transformation.
